Download data/src/OpenFOAM/distributions/unintegrable/unintegrable.H from introvoyz042/OpenFOAM-dev: direct link, hf CLI and curl.
- Browser
- Download file 8.12 kB
-
https://huggingface.co/datasets/introvoyz042/OpenFOAM-dev/resolve/main/data/src/OpenFOAM/distributions/unintegrable/unintegrable.H
- Command line
-
hf download hf://datasets/introvoyz042/OpenFOAM-dev/data/src/OpenFOAM/distributions/unintegrable/unintegrable.H
-
curl -L -o unintegrable.H https://huggingface.co/datasets/introvoyz042/OpenFOAM-dev/resolve/main/data/src/OpenFOAM/distributions/unintegrable/unintegrable.H
8.12 kB
| /*---------------------------------------------------------------------------*\ | |
| ========= | | |
| \\ / F ield | OpenFOAM: The Open Source CFD Toolbox | |
| \\ / O peration | Website: https://openfoam.org | |
| \\ / A nd | Copyright (C) 2023-2026 OpenFOAM Foundation | |
| \\/ M anipulation | | |
| ------------------------------------------------------------------------------- | |
| License | |
| This file is part of OpenFOAM. | |
| OpenFOAM is free software: you can redistribute it and/or modify it | |
| under the terms of the GNU General Public License as published by | |
| the Free Software Foundation, either version 3 of the License, or | |
| (at your option) any later version. | |
| OpenFOAM is distributed in the hope that it will be useful, but WITHOUT | |
| ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or | |
| FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License | |
| for more details. | |
| You should have received a copy of the GNU General Public License | |
| along with OpenFOAM. If not, see <http://www.gnu.org/licenses/>. | |
| Class | |
| Foam::distributions::unintegrable | |
| Description | |
| Base class for distributions that do not have a closed integral form for | |
| the cumulative density function (CDF) for some or all effective size | |
| exponents. | |
| SourceFiles | |
| unintegrable.C | |
| See also | |
| Foam::distribution | |
| \*---------------------------------------------------------------------------*/ | |
| // * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * // | |
| namespace Foam | |
| { | |
| namespace distributions | |
| { | |
| /*---------------------------------------------------------------------------*\ | |
| Class unintegrable Declaration | |
| \*---------------------------------------------------------------------------*/ | |
| class unintegrable | |
| : | |
| public distribution | |
| { | |
| private: | |
| // Private Data | |
| //- Number of intervals to use over the range of the distribution | |
| const label n_; | |
| //- X-coordinates. These are spaced to contain equal increments of the | |
| // CDF. Sampling is a inversion of the CDF; i.e., solve CDF(x) = s for | |
| // x, where s is a random sample between 0 and 1. Uniform increments | |
| // of CDF make this inversion trivial. | |
| mutable autoPtr<scalarField> xPtr_; | |
| //- Values of Phi (i.e., the un-normalised CDF) at the minimum and | |
| // maximum x-coordinates | |
| mutable autoPtr<Pair<scalar>> Phi01Ptr_; | |
| //- Values of the PDF at the X-coordinates | |
| mutable autoPtr<scalarField> PDFPtr_; | |
| // Private Member Functions | |
| //- X-coordinates | |
| const scalarField& x() const; | |
| //- Values of the PDF at the X-coordinates | |
| const scalarField& PDF() const; | |
| protected: | |
| // Protected Member Functions | |
| //- Return values of the un-normalised PDF for the given size exponent | |
| // and x-coordinates. Must be provided by derivations. | |
| virtual tmp<scalarField> phi | |
| ( | |
| const label q, | |
| const scalarField& x | |
| ) const = 0; | |
| //- Return values of the un-normalised CDF for the given size exponent | |
| // and x-coordinates. Can be overloaded by derivations, for example, if | |
| // there is a simpler analytic solution for certain effective size | |
| // exponents (probably zero). | |
| virtual tmp<scalarField> Phi | |
| ( | |
| const label q, | |
| const scalarField& x | |
| ) const; | |
| //- Return values of the un-normalised CDF at the minimum and maximum | |
| // x-coordinates for the given size exponent. Can be overloaded by | |
| // derivations, for example, if there is a simpler analytic solution | |
| // for certain effective size exponents (probably zero). | |
| virtual Pair<scalar> Phi01(const label q) const; | |
| //- Access cached values of the un-normalised CDF at the minimum and | |
| // maximum x-coordinates. | |
| const Pair<scalar>& Phi01() const; | |
| public: | |
| // Static Member Functions | |
| //- Integrate the values y with respect to the coordinates x | |
| static tmp<scalarField> integrate | |
| ( | |
| const scalarField& x, | |
| const scalarField& y | |
| ); | |
| //- Integrate the values x*y with respect to the coordinates x | |
| static tmp<scalarField> integrateX | |
| ( | |
| const scalarField& x, | |
| const scalarField& y | |
| ); | |
| //- Integrate the values x^e*y with respect to the coordinates x, | |
| // and interpolating onto a separate set of x coordinates | |
| static tmp<scalarField> interpolateIntegrateXPow | |
| ( | |
| const scalarField& xStar, | |
| const label e, | |
| const scalarField& yStar, | |
| const scalarField& x | |
| ); | |
| //- Sample an interval, given the interval's bounding x-coordinates, | |
| // values Phi (the un-normalised CDF), and a random sample. First | |
| // order interpolation. | |
| static scalar sampleInterval | |
| ( | |
| const Pair<scalar>& x, | |
| const Pair<scalar>& Phi, | |
| const scalar s | |
| ); | |
| //- Sample an interval, given the interval's bounding x-coordinates, | |
| // values phi and Phi (the un-normalised PDF and CDF), and a random | |
| // sample. Second order interpolation. | |
| static scalar sampleInterval | |
| ( | |
| const Pair<scalar>& x, | |
| const Pair<scalar>& phi, | |
| const Pair<scalar>& Phi, | |
| const scalar s | |
| ); | |
| //- Sample a discretised distribution, given the x-coordinates, | |
| // values Phi (the un-normalised CDF), and a random sample. First | |
| // order interpolation. | |
| static scalar sample | |
| ( | |
| const scalarField& x, | |
| const scalarField& Phi, | |
| const scalar s | |
| ); | |
| //- Sample a discretised distribution, given the x-coordinates, values | |
| // phi and Phi (the un-normalised PDF and CDF), and a random sample. | |
| // Second order interpolation. | |
| static scalar sample | |
| ( | |
| const scalarField& x, | |
| const scalarField& phi, | |
| const scalarField& Phi, | |
| const scalar s | |
| ); | |
| // Constructors | |
| //- Construct from a dictionary | |
| unintegrable | |
| ( | |
| const word& name, | |
| const unitSet& units, | |
| const dictionary& dict, | |
| const label sampleQ, | |
| randomGenerator&& rndGen | |
| ); | |
| //- Construct from components | |
| unintegrable | |
| ( | |
| const label Q, | |
| const label sampleQ, | |
| randomGenerator&& rndGen, | |
| const label n | |
| ); | |
| //- Construct copy | |
| unintegrable(const unintegrable& d, const label sampleQ); | |
| //- Destructor | |
| virtual ~unintegrable(); | |
| // Member Functions | |
| //- Sample the distribution | |
| virtual scalar sample() const; | |
| //- Sample the distribution | |
| using distribution::sample; | |
| //- Return the mean value | |
| virtual scalar mean() const; | |
| //- Return the integral of the PDF multiplied by an integer power of x | |
| virtual tmp<scalarField> integralPDFxPow | |
| ( | |
| const scalarField& x, | |
| const label e, | |
| const bool consistent = false | |
| ) const; | |
| //- Write to a stream | |
| virtual void write(Ostream& os, const unitSet& units) const; | |
| //- Return coordinates to plot across the range of the distribution | |
| using distribution::plotX; | |
| //- Return values to plot the probability density function | |
| virtual tmp<scalarField> plotPDF(const scalarField& x) const; | |
| }; | |
| // * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * // | |
| } // End namespace distributions | |
| } // End namespace Foam | |
| // * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * // | |
| // ************************************************************************* // | |